dglabs-deepclaw: Skill for Codex

.agents/skills/merge-pr/SKILL.md

merge-pr is a skill for Codex from deepgram/dglabs-deepclaw. It costs 49 tokens per session (1,317 once invoked), scanned A, original, MIT.

A workflow for merging a prepared GitHub pull request by combining its commits into one change. It verifies the merge and cleans up the related worktree, a separate local checkout of the repository, afterward.

In plain words
What is it for?
Use it to squash-merge a ready pull request, confirm that GitHub reports it as merged, record the resulting commit, and remove temporary worktree files.
Why use it?
It provides a defined final step after review and preparation, while restricting changes to the pull-request merge path.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents); built for openclaw.

This is deepgram/dglabs-deepclaw's own configuration. It tells Codex how to work on dglabs-deepclaw itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything dglabs-deepclaw configures →

Reuse

Borrowing it

Nothing to install: this file belongs to deepgram/dglabs-deepclaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/deepgram/dglabs-deepclaw/main/.agents/skills/merge-pr/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/deepgram/dglabs-deepclaw

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for merge-pr

README.md
[![agentmods](https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/merge-pr.svg)](https://agentmods.dev/skills/deepgram/dglabs-deepclaw/merge-pr)
Your own site
<a href="https://agentmods.dev/skills/deepgram/dglabs-deepclaw/merge-pr"><img src="https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/merge-pr.svg" alt="Measured on agentmods" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,317 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.01317
Opus 5 $0.00024 $0.00659
Sonnet 5 $0.00010 $0.00263
Haiku 4.5 $0.00005 $0.00132

Measured 8d ago against content hash 4aa53002e3ee, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

merge-pr scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/merge-pr/SKILL.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Merge PR

Overview

Merge a prepared PR via gh pr merge --squash and clean up the worktree after success.

Inputs

  • Ask for PR number or URL.
  • If missing, auto-detect from conversation.
  • If ambiguous, ask.

Safety

  • Use gh pr merge --squash as the only path to main.
  • Do not run git push at all during merge.
  • Do not run gateway stop commands. Do not kill processes. Do not touch port 18792.

Execution Rule

  • Execute the workflow. Do not stop after printing the TODO checklist.
  • If delegating, require the delegate to run commands and capture outputs.

Known Footguns

  • If you see "fatal: not a git repository", you are in the wrong directory. Use ~/dev/openclaw if available; otherwise ask user.
  • Read .local/review.md and .local/prep.md in the worktree. Do not skip.
  • Clean up the real worktree directory .worktrees/pr-<PR> only after a successful merge.
  • Expect cleanup to remove .local/ artifacts.

Completion Criteria

  • Ensure gh pr merge succeeds.
  • Ensure PR state is MERGED, never CLOSED.
  • Record the merge SHA.
  • Run cleanup only after merge success.

First: Create a TODO Checklist

Create a checklist of all merge steps, print it, then continue and execute the commands.

Setup: Use a Worktree

Use an isolated worktree for all merge work.

cd ~/dev/openclaw
# Sanity: confirm you are in the repo
git rev-parse --show-toplevel

WORKTREE_DIR=".worktrees/pr-<PR>"

Run all commands inside the worktree directory.

Load Local Artifacts (Mandatory)

Expect these files from earlier steps:

  • .local/review.md from /reviewpr
  • .local/prep.md from /preparepr
ls -la .local || true

if [ -f .local/review.md ]; then
  echo "Found .local/review.md"
  sed -n '1,120p' .local/review.md
else
  echo "Missing .local/review.md. Stop and run /reviewpr, then /preparepr."
  exit 1
fi

if [ -f .local/prep.md ]; then
  echo "Found .local/prep.md"
  sed -n '1,120p' .local/prep.md
else
  echo "Missing .local/prep.md. Stop and run /preparepr first."
  exit 1
fi

Read the full file on GitHub · 186 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 186 lines · 49 tokens per session scan A 4aa53002e3ee

Subscribe to this mod's changes

merge-pr is a skill published in the GitHub repository deepgram/dglabs-deepclaw (23 stars, last pushed 3mo ago), licensed MIT. It adds 49 tokens to every session and 1,317 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

prowler-commit

Creates professional git commits following conventional-commits format. Trigger: When creating commits, after completing code changes, when user asks to commit.

prowler-cloud/prowler · 33 tokens

gh-auth-isolation

Safely manage multiple GitHub identities (EMU + personal) in agent workflows.

github/gh-aw · 20 tokens

comet-github

A routing guide for Comet-related GitHub work. It directs requests about pull requests, issues, CI failures, ideas, and fixes to the appropriate review or implementation process.

rpamis/comet · 72 tokens

github-skill

Work with GitHub via the gh CLI — clone repositories, create/list/merge pull requests, create/list issues, and run any other gh command (API calls, workflow runs, releases, repo administration). List operations return parsed JSON.

zeenie-ai/OpenCompany · 51 tokens

codex-autoresearch

Run autonomous, measurable experiments in a Git repository: change one hypothesis, verify a numeric metric, keep improvements, and revert failures. Use when the user wants Codex to keep iterating toward a numeric target in the foreground or as a detached background run. Do not use for ordinary one-shot coding…

leo-lilinxiao/codex-autoresearch · 80 tokens

changelog-composer

Generates structured changelogs and release notes from git history and PRs, classifying breaking changes, features, fixes, performance, docs. Triggers on: "generate changelog", "write release notes", "what changed since", "prepare release", "release notes for", "diff since tag".

Mathews-Tom/armory · 67 tokens